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Did you know that nearly 1/3 of all food produced is wasted or lost?
This food waste has far-reaching economic, social, and environmental consequences, including increased greenhouse gas emissions and squandered resources such as water, energy, and land. By leveraging data science as a platform, we can make significant strides in reducing food waste and tackling the challenges outlined in this McKinsey report. Data science provides valuable insights into the causes and potential solutions to food waste, enabling us to create a more efficient and sustainable food supply chain.
Girl Scout Cookie Supply Chain Woes slowing down your cookie order. Find out why.
What can data science help optimize in a commodity deconstruction business like meat or dairy? Data science can forecast the impact of commodity supply variability
Download our latest white paper: Applying Data Science to the Integrated Retail Meat Supply Chain
Sign up for the next webinar: No Longer Unprecedented: How to be a Thriving Dairy Business in the New Normal
We’ve all seen empty supermarkets shelves recently, waited much longer than usual for an online delivery, or experienced port and shipping problems. It’s fair to
chain disruption has been at the forefront of dairy producers’ minds in recent years as weather, pandemics, inflationary pressures, regulatory changes, food uncertainty, and more contribute to supply chain volatility.
This week on Udderly Understandable, Hamish and Robbie explain how the burgeoning conflict in Ukraine may impact the dairy industry and commodity ag.
During times of upheaval, the most important thing you can have for supply chain resilience is extreme visibility.
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